The effect of shopping goals and in-store mobile device use on purchase outcomes in brick-and-mortar stores

The present study examines the effect of using a mobile device on search and evaluation by a shopper in a brick-and-mortar store. A conceptual model that proposes inter-relationships between shopping goals, the amount and type of in-store mobile device use, and purchase outcomes is developed. Data from a national quota sample of 1034 mobile shoppers is used to test hypotheses derived from the proposed model. The findings provide several new insights into the impact of in-store mobile device use on the consumer decision journey in a brick-and-mortar store. Depending upon the shopping goals of the consumer, the use of a mobile device by shoppers in a brick-and-mortar store can either decrease or increase search, lead to more deferred purchases or in-store-now purchases, and more online or physical store purchases. The study is among the first to model the pathway to purchase for mobile device assisted shoppers in brick-and-mortar stores.     

Economic corollaries of personalized recommendations

The impact of recommendation systems (RSs) on the diversity of consumption is not transparent or well understood. Available studies, whether experimental or theoretical, show inconsistent and even opposite results, which manifests as debate in the literature. In this paper, we investigate the impact of two main recommender systems, neural collaborative filtering and deep content filtering, on sales diversity via a randomized field experiment. Our results confirm the capability of recommender engines in increasing or decreasing aggregate sales diversity. Nonetheless, they amplify homogenization and reduce individual-level consumption diversity. In conclusion, our research reconciles seemingly contradict previous findings and illustrates that the design of the RS is the decisive factor in homogenizing or diversifying product sales.     

Understanding the role of situational factors on online grocery shopping among older adults

This paper seeks to identify the situational factors that drive the adoption of online grocery shopping among older adults. A two-step research process is employed. First, exploratory qualitative research is carried out to identify situational factors that older adults take into account when deciding whether to buy groceries online. This is followed by a conjoint experiment to determine which situational factors are considered most important when making such a decision. The sample consisted of 9 participants in the in-depth individual interviews and 206 respondents in the conjoint experiment. The findings indicate that health, mobility issues, and distance to a store are the most important situational factors driving older adults to buy groceries online. Moreover, the findings confirm that the adoption of online grocery shopping among older adults is a result of a complex trade-off of situational variables. The findings contribute to managerial practice by providing online grocery retailers with insight that can be applied when designing promotional programs targeted at older adults.     

The roles of multiple channels in predicting website visits and purchases: Engagers versus closers

In today’s online environment, consumers and sellers interact through multiple channels such as email, search engines, banner ads, affiliate websites and comparison-shopping websites. In this paper, we investigate whether knowing the history of channels the consumer has used until a point of time is predictive of their future visit patterns and purchase conversions. We propose a model in which future visits and conversions are stochastically dependent on the channels a consumer used on their path up to a point. Salient features of our model are: (1) visits by consumers are allowed to be clustered, which enables separation of their visits into intra- and inter-session components, (2) interaction effects between channels where prior visits and conversions from channels impact future inter-session visits, intra-session visits and conversions through a latent variable reflecting the cumulative weighted inventory of prior visits, (3) each channel attracts inter-session and intra-session visits differently, (4) each channel has different association with conversion conditional on a customer’s arrival to the website through that channel, (5) each channel engages customers differently (i.e., keeps the customer alive for a next session or for a next visit within a session), (6) the channel from which there was an arrival in the previous session can have an enhanced ability to generate an arrival for the same channel in the current session (channel persistence), and (7) parsimonious specification for high dimensionality in a low-velocity, sparse-data environment. We estimate the model on easy-to-collect first-party data obtained from an online retailer selling a durable good and find that information on the identities of channels and incorporation of inter- and intra-session visits have significant predictive power for future visitation and conversion behavior. We find that some channels act as “closers” and others as “engagers”—consumers arriving through the former are more likely to make a purchase, while consumers arriving through the latter, even if they do not make a purchase, are more likely to visit again in the future or extend the current session. We also find that some channels engage customers more than others, and that there are interaction effects between the channels visited. Our estimates show that the effect of prior inventory of visits is different from the immediate prior visit, and that visit and purchase probabilities can increase or decrease based on the history of channels used. We discuss several managerial implications of the model including using the predictions of the model to aid in selecting customers for marketing actions and using the model to evaluate a policy change regarding the obscuring of channel information.     

公用企业滥用行为与"混合型"管制改革

公用企业滥用垄断地位行为是管制改革和中国反垄断法中的核心问题.本文采用线性城市模型证明,管制改革中纵向经营在位企业具有采取排他性行为对新企业实行市场封锁的激励.在此情况下,混合型管制体制具有相对的效率优势.中国自然垄断行业具有自然垄断、行为垄断和行政垄断三重交织的特点,垄断性公用企业具有特殊的滥用行为产生机理和滥用行为方式.反公用企业滥用行为应建立"混合型"管制体制模式,将深化行业管制体制改革和反垄断执法有机的结合起来.     

离婚损害赔偿适用的若干要件之分析

离婚损害赔偿在许多国家和地区都有明确规定,而我国直至2001年婚姻法修正案中始将该制度加以确定,因此从离婚损害赔偿的请求权人、损害赔偿责任的主体、过错行为、损害结果、损害赔偿的提起时间等方面,分析适用离婚损害赔偿的条件,并对实践中的一些问题加以分析,具有十分重要的现实意义.     

网络环境下经济行为边界的确定

现代社会是信息社会,互联网和计算机应用是最明显的特征。人们基于网络参与经济决策与市场交易活动,道德理念、行为准则和行为安排发生了较大的变化。网络技术:一方面,极大地降低了交易费用;另一方面,由于经济行为的隐蔽性,追求经济利益的行为缺乏有效监督,人的趋利避害和机会主义倾向更容易诱发蓄意性诱导行为。在网络环境下,如何界定“经济人”的行为模式,怎样减少经济行为负的外部效应成为经济学理论研究的问题。本文主要讨论网络环境中“经济人”经济行为边界的确定。     

吉林省储蓄国债投资者研究

随着我国经济持续增长和利率市场化不断推进,个人投资者资产管理方式及渠道日益丰富,而储蓄国债因品种单一、购买渠道狭窄、流动性不强等因素,与其他投资品种相比失去了往日"金边国债"魅力,储蓄国债发行和管理工作面临着挑战。本文从问卷调查入手,深入分析了吉林省储蓄国债投资者的结构特征、行为特点和投资偏好,并就优化期限结构、丰富国债品种、完善发行兑付渠道、强化宣传以及拓展农村市场五个方面提出意见建议,供参考。     

国家公园划定荒野保护区的意义与方法

世界自然保护联盟(IUCN)把荒野保护地列入保护 级别最高的一类保护地,荒野体验是游憩体验最高级别的体验 形式。世界各国荒野保护地实际存在形式大致分独立型和合 并型2类。划定荒野保护区是荒野价值研究成果的重要应用实 践,这是中国国家公园体制建设向深层次发展的重要方向。核 心保护区与荒野保护区对应IUCN保护地分类体系中的Ia、Ib 保护地,这样既可以同国际接轨,又解决了国内国家公园生态 保护管控与人类活动的矛盾问题。国家公园突出荒野保护理念 既建立了国家公园与社会的情感联系,强化了国家公园的社会 文化认同,又彰显了国家公园人与自然和谐共生的绿色发展理 念。栖息地适宜性评价与行为分析法是划定荒野保护区的重要 方法,通过栖息地适宜性评价建立国家公园生态环境谱系,在 生态环境谱系基础上通过行为交互作用分析建立游憩机会谱系 与社区村落谱系。荒野保护区整合了三大谱系,建构了以荒野 保护区为主体的管理分区体系,把各个功能区有机组织起来, 形成结构有序、自然共生的人地耦合复杂生态系统。     

基于招商引资的西部地区民间资本投资动机和行为分析

我国民间资本投资已成为促进区域经济增长的主要动因,如何推动民间资本加大对西部地区的投资,是促进我国经济健康、协调、持续发展和促进西部经济快速发展的关键。从投资动机、影响投资环境因素、投资决策方式层面上剖析民间资本,对于指导西部地区民间资本投资工作具有现实意义。